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#Microservices Reel by @mission_compile - Asked in most system design interviews - an API Gateway keeps microservices clean, fast, and secure, just like a receptionist in office :

Comment "PD
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@mission_compile
Asked in most system design interviews — an API Gateway keeps microservices clean, fast, and secure, just like a receptionist in office : Comment "PDF" to get detailed notes . ⸻ 1️⃣ One Entry Point (No Chaos) 👉 Clients hit one URL instead of 20 microservices. Example: Like entering a mall through one main gate instead of 20 side doors. ⸻ 2️⃣ Smart Routing & Load Balancing 👉 Gateway sends each request to the right service/server. Example: Like a receptionist sending you to billing, support, or sales. ⸻ 3️⃣ Central Authentication 👉 Login check happens once at the gateway. Example: Like showing your ID at building entrance, not at every room. ⸻ 4️⃣ Rate Limiting (Protect Backend) 👉 Stops spam/abuse before it reaches services. Example: Like security controlling crowd so rooms don’t get overcrowded. ⸻ 5️⃣ Caching at the Gateway 👉 Cached responses reduce load on backend services. Example: Like keeping frequently asked answers ready at the reception desk. ⸻ 6️⃣ Request Transformation 👉 Converts incoming requests into formats services understand. Example: Like a receptionist translating your query into the right department language. ⸻ 7️⃣ Logging & Monitoring 👉 One place to track all failures, slow APIs, and traffic spikes. Example: Like CCTV at the main gate capturing everyone entering. ⸻ #SystemDesign #APIGateway #Microservices #BackendEngineering #techreels (API Gateway, Microservices Architecture, System Design Interview, API Security, Load Balancing, Backend Engineering, Distributed Systems, High Scale APIs, Developer Tips, Scalable Architecture)
#Microservices Reel by @codesnippet.java (verified account) - Microservices Roadmap 2026 ✅
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#follow @codesnippet.java ✅
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#java #programming #programmer #microservices
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@codesnippet.java
Microservices Roadmap 2026 ✅ . #follow @codesnippet.java ✅ . #java #programming #programmer #microservices
#Microservices Reel by @coding_with_deepa - These 30 questions are MOST ASKED interview questions and must for interview centric preparations.

Comment "pdf" for these questions and detailed ans
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@coding_with_deepa
These 30 questions are MOST ASKED interview questions and must for interview centric preparations. Comment "pdf" for these questions and detailed answers. Microservices - Must-Know Interview Questions 1️⃣What is a Microservice? 2️⃣Advantages of Microservices over Monolithic architecture 3️⃣When should you not use Microservices? 4️⃣Design principles of Microservices 5️⃣What is the 12-Factor methodology? Important ________ 6️⃣Why Spring Boot + Spring Cloud for Microservices? 7️⃣Should multiple Microservices share a database? Why / Why not? 8️⃣How do Microservices communicate internally and externally? 9️⃣Which Microservice design patterns have you used and why? 1️⃣0️⃣Database design patterns in Microservices Super Important _______ 1️⃣1️⃣What is the SAGA pattern? 1️⃣2️⃣Explain CQRS 1️⃣3️⃣Best patterns for read-heavy vs write-heavy systems 1️⃣4️⃣Choreography vs Orchestration 1️⃣5️⃣Fault tolerance mechanisms in Spring Microservices Comment "pdf" for rest of the questions and detailed answers. #codinglife #systemdesign #engineers #developers #softwareengineering [coding, system design, interview, developers, software engineer, coders, java]
#Microservices Reel by @codewithupasana - Companies are Quitting microservices.
They're fixing what broke.
For years, microservices were sold as the ultimate architecture.
Move fast. Scale ind
1.4M
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@codewithupasana
Companies are Quitting microservices. They’re fixing what broke. For years, microservices were sold as the ultimate architecture. Move fast. Scale independently. Deploy anytime. And it worked… until it didn’t. What actually happened in many companies: 100+ services for a simple product Network calls everywhere Debugging turned into tracing nightmares Infra cost exploded Local development became painful Teams spent more time managing services than building features So companies didn’t go back to monoliths. They went modular. Modular architecture = Clear domain boundaries Fewer, larger services Strong internal modules instead of network hops Independent ownership without distributed chaos Faster dev, easier testing, lower cost Big tech today prefers: ➡️ Well-structured modular monoliths ➡️ Selective microservices (only where scale truly demands it) Because architecture is not about trends. It’s about trade-offs. Microservices are powerful — but only when you actually need them. Build simple first. Scale deliberately. Distribute only when forced. That’s how real systems survive. 🚀 #softwarearchitecture #microservices #modulararchitecture #systemdesign #backendengineering scalablearchitecture techinsights engineeringlessons distributedSystems backenddev softwareengineering architecturedecisions
#Microservices Reel by @emrcodes (verified account) - Comment "MICROSERVICE" to get the links!

🔥 Trying to build scalable systems without understanding microservices is like splitting your app into piec
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@emrcodes
Comment “MICROSERVICE” to get the links! 🔥 Trying to build scalable systems without understanding microservices is like splitting your app into pieces and hoping they magically work together. If you don’t grasp service boundaries, communication, and deployment independence, you’ll face chaos in production. This roadmap prevents that. 🏗 What Are Microservices? A beginner-friendly intro to why microservices exist, what makes them powerful, and how they differ from monoliths. ⏱ Microservices in 5 Minutes A quick explanation of how independent services communicate, scale, and evolve without slowing down the system. 🎯 What Microservices Are Really About A deeper look at the trade-offs—when they help, when they hurt, and why many companies regret adopting them too early. 💡 With these resources, you will: 🚀 Understand how modern distributed systems are actually built 🧩 Define clean boundaries that keep teams and services independent 📈 Scale components that need it—without overspending 🔍 Debug failures across services with better mental models 🛠 Know when microservices are the wrong choice If you want to move from “it works on my laptop” to “it scales reliably in production,” microservice fundamentals aren’t hype—they’re essential. 📌 Save this post so you never lose this roadmap. 💬 Comment “MICROSERVICE” and I’ll send you all the links! 👉 Follow for more Backend Engineering, System Design, and Career Growth.
#Microservices Reel by @sayed.developer (verified account) - What is Microservices Architecture 🤯 
Guys! Microservices architecture is a system design where an application is split into many small, independent
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@sayed.developer
What is Microservices Architecture 🤯 Guys! Microservices architecture is a system design where an application is split into many small, independent services that each handle a specific business capability. Each service runs independently, communicates through APIs, and can be developed or deployed without affecting the others. This allows teams to scale, update, and maintain parts of the system separately instead of managing one large codebase. In short, microservices break a big application into smaller, specialized services that work together. And that’s literally it🫡 #softwareengineering #dev
#Microservices Reel by @codewithupasana - Companies are Quitting microservices.
They're fixing what broke.
For years, microservices were sold as the ultimate architecture.
Move fast. Scale ind
552.7K
CO
@codewithupasana
Companies are Quitting microservices. They’re fixing what broke. For years, microservices were sold as the ultimate architecture. Move fast. Scale independently. Deploy anytime. And it worked... until it didn’t. What actually happened in many companies: 100+ services for a simple product Network calls everywhere Debugging turned into tracing nightmares Infra cost exploded Local development became painful Teams spent more time managing services than building features So companies didn’t go back to monoliths. They went modular. Modular architecture = Clear domain boundaries Fewer, larger services Strong internal modules instead of network hops Independent ownership without distributed chaos Faster dev, easier testing, lower cost Big tech today prefers: Well-structured modular monoliths Selective microservices (only where scale truly demands it Because architecture is not about trends. It’s about trade-offs. Microservices are powerful - but only when you actually need them. Build simple first. Scale deliberately. Distribute only when forced. That’s how real systems survive. #softwarearchitecture #microservices #modulararchitecture #systemdesign #backendengineering scalablearchitecture techinsights engineeringlessons distributedSystems backenddev
#Microservices Reel by @backend.interview.preparation (verified account) - www.yellowcoder.in
Comment INTERVIEWPREP to start 
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Java, Java programming, Java developer, Learn Java, Java tutorial, Java interview questio
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@backend.interview.preparation
www.yellowcoder.in Comment INTERVIEWPREP to start . . . . . Java, Java programming, Java developer, Learn Java, Java tutorial, Java interview questions, Java coding, Java basics, Java 8 features, Java Streams, Java lambda expressions, Java multithreading, Java concurrency, Java memory management, Java collections, Java OOP, Java REST API, Spring Boot, Spring Boot microservices, Spring Security, JWT authentication, Java Kafka, Java full stack, Java backend, Java annotations, Java functional programming, Java coding practice, Java tips, Java best practices, Java developer roadmap, Java debugging, Java tools, IntelliJ IDEA, Eclipse Java, Java certification, Java job prep, Java microservices, Java design patterns, Java performance tuning, Java version updates, Java sealed classes, Java records
#Microservices Reel by @codingwithaman (verified account) - Important REST API design principles #coding #programmer #programming #codinglife #fullstackdeveloper 

{java, springboot, microservices, backend engi
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@codingwithaman
Important REST API design principles #coding #programmer #programming #codinglife #fullstackdeveloper {java, springboot, microservices, backend engineer, web development}
#Microservices Reel by @riteshbiswas.in - I learn System Design without getting overwhelmed.

[system design, learn system design, system design interview, backend design, scalability, high le
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@riteshbiswas.in
I learn System Design without getting overwhelmed. [system design, learn system design, system design interview, backend design, scalability, high level design, low level design, requirements, api design, database schema, caching, load balancer, rate limiting, message queue, microservices, monolith, trade offs, architecture diagram, design patterns, distributed systems, sharding, replication, reliability, latency] #systemdesign #backend #softwareengineering #coding #programming
#Microservices Reel by @sunchitdudeja - Day 33/50 Distributed Tracing In Microservices | System Design Interview Preparation Series 

TraceId 
- Generated at the request entry point 
- Passe
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@sunchitdudeja
Day 33/50 Distributed Tracing In Microservices | System Design Interview Preparation Series TraceId - Generated at the request entry point - Passeto all downstream services - Same traceid in logs across services - Enabled u to corelate from diferent systems SpanId - Gnerayed at operation within the service - Links to the parent SpanId to show heirarchy - Different spanIds for different opera in the same trace Comment “trace” for the comment blog! Follow @sunchitdudeja for more such content #systemdesign #microservices #distributedtracing #requestapi
#Microservices Reel by @softwarengineering - Read 👇 
🔗 If two microservices need to communicate, how do you do it?

1️⃣ Synchronous REST API
Service A calls Service B via HTTP.
Simple, fast, bu
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@softwarengineering
Read 👇 🔗 If two microservices need to communicate, how do you do it? 1️⃣ Synchronous REST API Service A calls Service B via HTTP. Simple, fast, but tightly coupled. 2️⃣ gRPC (Service-to-Service) Binary protocol, faster than REST. Great for internal, high-throughput communication. 3️⃣ Asynchronous Messaging Use Kafka / RabbitMQ. Service A emits an event → Service B consumes it later. Highly scalable & loosely coupled. 4️⃣ Event-Driven Architecture Services react to events instead of calling each other directly. Best for large, distributed systems. 5️⃣ API Gateway (External Calls) Clients go through gateway → internal services stay hidden. 6️⃣ Service Discovery Services find each other dynamically (Eureka, Consul, K8s DNS). 7️⃣ Circuit Breakers & Retries Prevents one failing service from crashing others. 8️⃣ Idempotent APIs Retries don’t cause duplicate processing. ⚡ When to use what? Need immediate response? → REST / gRPC Need scale & resilience? → Async events Microservices shouldn’t chat all the time — they should notify and move on. #softwareengineering #systemdesign

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